SegGroup: Seg-Level Supervision for 3D Instance and Semantic Segmentation. (arXiv:2012.10217v3 [cs.CV] UPDATED)

Web: http://arxiv.org/abs/2012.10217

Most existing point cloud instance and semantic segmentation methods rely
heavily on strong supervision signals, which require point-level labels for
every point in the scene. However, such strong supervision suffers from large
annotation costs, arousing the need to study efficient annotating. In this
paper, we discover that the locations of instances matter for both instance and
semantic 3D scene segmentation. By fully taking advantage of locations, we
design a weakly supervised point cloud segmentation algorithm that only
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3d arxiv cv segmentation semantic